Measuring Design Complexity of Cultural Heritage Ontologies

Bilal Ben Mahria, Ilham Chaker, Azeddine Zahi


Nowadays, Ontologies have become widely used to design formalism for knowledge representation, and are considered as the foundation for the Semantic Web. However, with their widespread usage, a question of their complexity evaluation increased even more, especially in some domains that currently know a cruise number of ontologies like Cultural Heritage. In this paper, we present an analysis of the advanced metrics for measuring the design complexity of existing cultural heritage ontologies (CH). In this context, the main goals of this study are to (i) present advanced metrics such as the size of vocabulary, the tree impurity, coupling, average number of path per concept, and average path length, in order to analyze the advanced complexity features of the CH ontologies and their impact on the reuse and evolution of the CH ontologies; (ii) Help developers to decide whether the ontology is over complex that it needs some simplification or re-building; (iii) Make developers clearly realize the impact of the size and scale of ontology. In order to reach these goals, a set of twenty CH ontologies are gathered from the web to measure and analyze their advanced complexity metrics. By analyzing the size of vocabulary, the average number of paths per concept, and average path length, the evaluation results exhibit that the CH ontologies studied are highly complex. In addition, the CH ontologies cannot be easily maintained due to the findings reached through the analysis of the tree impurity and coupling.


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